RAG MCP

Minimal RAG-over-a-corpus MCP retrieval: search_knowledge returns cited chunks.

Connector by jaimenbell · GitHub account verified by the MCP Registry

IndexedMITLocal (stdio)★ 1

Chalk Labs

Need help deploying RAG MCP?

Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.

Book a call

Install

Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.

npx agentmarket install connector/jaimenbell-rag-mcp

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

About

Minimal RAG-over-a-corpus MCP retrieval: search_knowledge returns cited chunks. Local embeddings.

Reviews

Write a review

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.

Tools: 1 read · 0 write · 0 deleteRead-only
Secrets: None asked for
Install scripts: Not scanned yet
Runs as: Python package

Tools by what they do 1

Read from the source code; the running server may list different tools.

Read 1 · Look things up without changing anything.

search_knowledge

Tools (1)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

search_knowledge
Retrieve the most relevant passages from the configured knowledge corpus for a natural-language query. Returns the passage text plus a CITATION (source file + heading + chunk index) for each hit so answers are traceable. Auth-scoped to the corpus root and fail-soft: a down/empty store returns a structured error, never an exception. Use when asked to look something up in the knowledge base / docs.

Signals

Stars: 1
Forks: 1
Open issues: 0
Weekly downloads: 39
Last commit: Oct 22, 2026 (9 days ago)
Last release: Jul 24, 2026 (3 months ago)
Last package publish: Jul 24, 2026 (3 months ago)

From GitHub (fetched Oct 24, 2026) and the package registry.

Details

Registry name: io.github.jaimenbell/rag-mcp
Version: 0.1.0
Auth: No auth
Packages: pypi jaimenbell-rag-mcp
License: MIT
Repository: github.com/jaimenbell/rag-mcp
First seen: Oct 24, 2026
Last checked: Oct 24, 2026
Source: Official MCP Registry github-graphql

More from jaimenbell

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped: 50+; launches shipped
media placements: 500+; media placements
founders on every account: 2; founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

Get RAG MCP running in your business

Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.

Need help deploying RAG MCP?

Call Get help

Cite this page

RAG MCP. Agent Mart. https://agentmart.dev/connectors/jaimenbell-rag-mcp (last updated 2026-10-24)